Improve with confidence using AI

Generative AI is the game changer the sustainability and climate sectors need, to reduce the time and cost spent on ever increasing compliance, regulation and reporting requirements, while improving the discoverability of suitable solutions and technologies for companies and suppliers globally

From Sustainability to Improvability - with high quality, verified data.

In today's rapidly evolving landscape, businesses face the constant challenge of improving their operations and making a positive impact on the planet. And most importantly - whether they want to be sustainable or not - they now have to comply with an ever growing set of reporting, regulations and compliance requirements - within the US (Federal, State and Local); within the European Union (EU), and in Asia.

One of the key objectives of Improvability.AI is to help companies transition from mere sustainability to the concept of "improvability." Over the past few years, the rapid increase in sustainability and ESG (Environmental, Social, and Governance) compliance and reporting - especially across supply chains - means that companies spend way too much of their time doing this work, and not enough on actual improvements. The platform helps companies move forward more efficiently and cost effectively, using the advantages of Generative AI - while solving the biggest issue of Gen AI - trust in the data and answers.

Enabling users to query their own personal vector databases

While LLMs (Language Models) have to date mostly used for more creative applications that do not require perfect accuracy, such as copywriting, blog posts, image creation and legal documents - Improvability AI represents a growing number of startups that are leveraging generative AI to tackle complex challenges and deliver efficient solutions in enterprise deployments.

However, the main hurdle faced so far in widespread enterprise adoption has been the availability of accurate and reliable results with data - Alexandr Wang, CEO of Scale AI illustrates this best when he says "data remains the biggest bottleneck in AI".

Improvability.AI is is working to solve this problem, by surpassing other startups in terms of data quality and accuracy. We do this by enabling uses to create their own personal vector databases starting from just USD 75/user/month - and then upload documents (including excel files), from across operations and suppliers - initially focused on the sustainability, ESG and supply chain sectors. They can then write reports, query the data, plot graphs and most importantly start to look for other technologies and companies that can match with their requirements and goals.

Most importantly unlike many other platforms, Improvability.AI ensures that users' data is not lost after 30 days and maintains a high degree of data accuracy - we do this using similar techniques to Scale AI such as RHLF (Reinforcement Learning from Human Feedback). We call this "deep data extraction" - which you can request on documents to ensure the highest level of accuracy.